An ontology for distributed process supervision of large-scale chemical plants

Natarajan, Sathish; Ghosh, Kaushik

doi:10.1016/j.compchemeng.2012.06.009

Cited by 33 publications

(23 citation statements)

References 33 publications

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“…According to the authors, the use of ontologies for an explicit description of the world has many advantages, including ease of integration and extensibility. Some authors suggest the use of ontology for geological interpretation [16], oil exploitation [17], exploration [18], and process surveillance [19]. Techniques used to achieve a better production quality of the extraction well.…”

Section: Ontologymentioning

confidence: 99%

A Multi-agent Approach for Production Management

Tanajura

Oliveira

Lepikson

2015

Lecture Notes in Electrical Engineering

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Abstract. Multi-agent systems have been successfully used to represent distributed manufacturing systems. Each part or characteristic of the system can be represented by an agent which acts independently and in a cooperative way. A better integrated operation can emerge as the result of each agent following its own rules and communicating with the others. Better decisions from a holistic viewpoint can be achieved when manufacturing asset management is supported by a multi-agent approach. A model to manage distributed manufacturing is proposed and applied to on-shore oil fields. The distributed characteristics of oil field units, such as wells, collecting stations, compressing stations and supplies mean that they have to cooperate to reach production targets. The integrated management model carries out a cost analysis and helps to identify unprofitable assets and to support decision making processes. Agents help to reduce the load of information for the operator, giving more time to focus on situations that require greater attention. Example applications are presented in which the proposed multi-agent model, its ontology and rules, could help oil field surveillance and support decision-making process.

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Section: Ontologymentioning

confidence: 99%

A Multi-agent Approach for Production Management

Tanajura

Oliveira

Lepikson

2015

Lecture Notes in Electrical Engineering

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“…In the domain of chemical and process engineering, the number of available ontologies is increasing and demonstrating the growing interest of the community. Among them, one can mention the following to facilitate the identification of the best option for the optimization problem: process supervision of large scale chemical plants (Natarajan et al, 2012); computer-aided process engineering (Morbach et al, 2007(Morbach et al, , 2009); batch process (Muñoz et al, 2010); process integration and interoperability (Muñoz et al, 2013); process simulation and optimization in the context of eco-industrial parks (Zhou et al, 2017); pharmaceutical product development and manufacturing (Hailemariam and Venkatasubramanian, 2010;Venkatasubramanian et al, 2006); petrochemical processes (Ni et al, 2011), and biomass and biorefineries (Trokanas et al, 2016).…”

Section: Ontologymentioning

confidence: 99%

From conceptual design to process design optimization: a review on flowsheet synthesis

Montastruc

Belletante

Pagot

et al. 2019

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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This paper presents the authors’ perspectives on some of the open questions and opportunities in Process Systems Engineering (PSE) focusing on process synthesis. A general overview of process synthesis is given, and the difference between Conceptual Design (CD) and Process Design (PD) is presented using an original ternary diagram. Then, a bibliometric analysis is performed to place major research team activities in the latter. An analysis of ongoing work is conducted and some perspectives are provided based on the analysis. This analysis includes symbolic knowledge representation concepts and inference techniques, i.e., ontology, that is believed to become useful in the future. Future research challenges that process synthesis will have to face, such as biomass transformation, shale production, response to spaceflight demand, modular plant design, and intermittent production of energy, are also discussed.

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“…Desde o advento de sistemas digitais de controle e de disponibilidade da capacidade computacional, há cerca de meio século, sistemas baseados em informações são utilizados para explorar dados e modelos, visando habilitar a capacidade de interpretação de dados e atuação nos processos através da tomada de decisões e controle avançado. Muñoz et al (2010), que comentam sobre a infraestrutura para processos em batelada, e em Natarajan et al (2012) que trazem a supervisão distribuída de processos de larga escala, descrevem exemplos acerca disso.…”

Section: Introductionunclassified

Integração Do Sistema Ciber-Físico Para Sistema De Programação, Intertravamento E Controle De Um Reator Batelada

Sousa¹,

Taira²,

Park³

2019

jCEC

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O presente trabalho destina-se a esclarecer o conceito de Indústria 4.0 para sistemas de controle industrial de Engenharia Química, não abandonando as técnicas consagradas e colocando-as no contexto ciber-físico através da integração entre sistema de informação, modelo virtual e o processo físico. Após a elaboração da arquitetura e programação dentro de cada módulo de sistema de controle, incluindo um observador virtual, é realizada a aplicação de intertravamento no controle de um reator de batelada, mostrando as funcionalidades de automação ciberfísica quando comparada à complexidade de hardwares em sistemas tradicionais.

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An ontology for distributed process supervision of large-scale chemical plants

Cited by 33 publications

References 33 publications

A Multi-agent Approach for Production Management

A Multi-agent Approach for Production Management

From conceptual design to process design optimization: a review on flowsheet synthesis

Integração Do Sistema Ciber-Físico Para Sistema De Programação, Intertravamento E Controle De Um Reator Batelada

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